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  2. Multi-Sensory Face Biometric Fusion (for Personal Identification)…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-OTCBVS-Arandjelovic-fusion.pdf
    13 Mar 2018: The optimal. values were found to be2.3 and6.2 for visual data; the op-timal filter for thermal data was found to be alow-passfilterwith W2 = 2.8 (i.e.
  3. Estimation of Epipolar Geometry from Apparent Contours: Affine and…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-CVPR-affine-frontiers.pdf
    13 Mar 2018: If the angles of the epipolar lines had op-posite signals in respect the horizontal axis, the points putunder correspondence by the epipolar geometry would be atopposite places in the bottom
  4. KIM et al.: GROWING A TREE FROM DECISION REGIONS ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2010-BMVC-supertree.pdf
    13 Mar 2018: Huffman coding [17] is related to our op-timisation. It minimises the weighted (by region prior in our problem) path length of code(region).
  5. MNRAS 000, 1–21 (2017) Preprint 14 June 2018 Compiled ...

    https://people.ast.cam.ac.uk/~wyatt/wvkb17.pdf
    14 Jun 2018: Note that the derivation above has only accounted for the op-tical depth along the line of sight from the star to the dust.
  6. stenger_imavis06.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-IVC-Stenger.pdf
    13 Mar 2018: Figure 11 illustrates the op-eration of the classifiers at different levels of the tree.
  7. The ER membrane protein complex is a transmembrane domain insertase

    https://www2.mrc-lmb.cam.ac.uk/groups/hegde/download/Science_2017c.pdf
    27 Jan 2018: S17) and op-timized conditions for its reconstitution into lipo-somes. The reconstituted EMC remained fullyintact (fig.
  8. A Unifying Resolution-Independent Formulation for Early Vision∗ Fabio …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2012-CVPR-Viola.pdf
    13 Mar 2018: Our implementation has been optimizedfor speed at an algorithmic level by use of second order op-timizers, and by limiting the number of polygon clippingsrequired, but has not been micro-optimized.
  9. Slide 1

    https://www.c2d3.cam.ac.uk/sites/www.c2d3.cam.ac.uk/files/attachments/2018-10/sven_schlarb_-_e-ark_15_march_2016.pdf
    11 Dec 2018: HA. DO. OP. Sort. Shuffle. Merge. Input data. Input split 1.
  10. Combining Single View Recognition and Multiple View Stereo For ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2001-ICCV-Dick-combining.pdf
    13 Mar 2018: Having maximised the likelihood of each primitive, amodel selection criterion is used to decide whether the op-tional parameters A?
  11. Filtering Using a Tree-Based Estimator B. Stenger∗ A. Thayananthan∗…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2003-ICCV-Stenger-filtering.pdf
    13 Mar 2018: Filtering Using a Tree-Based Estimator. B. Stenger A. Thayananthan P. H. S. Torr† R. Cipolla. University of Cambridge † Microsoft Research Ltd.Department of Engineering 7 JJ Thompson AvenueCambridge, CB2 1PZ, UK Cambridge, CB3 OFB, UK.
  12. Large scale labelled video data augmentation for semantic…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-ICCV-label-propagation.pdf
    13 Mar 2018: However, in contrast to image classification and somedeep learning lead problems of computer vision, semanticsegmentation (especially for autonomous driving) still op-erates on limited size datasets which do not exceed 5000labelled
  13. 13 Mar 2018: tDvxmKyz{ag/koamn|@p s p}l}op z{ygKa. mm m. dKm pjym gp}@z{pg s kl z{ygKa. ... 4"<4L86"< )&A$"%( OP SOH! "% $ &%& 6 2 /, 1 ,"%5="% w4"< 2 "< 9 4w" 2 wZJ> 4w"%H7L.
  14. Hole Filling Through Photomontage Marta Wilczkowiak∗, Gabriel J.…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-BMVC-Wilczkowiak-hole-filling.pdf
    13 Mar 2018: Now the problem of finding an op-timal replacement of pixels in patch p′ from those in patch m′ is equivalent to finding apath in the graph such that the error
  15. 13 Mar 2018: 1 1R@ ' 01. ë5ãèéèê79 C1 = @ øAèàòáèå áãè øAèáèéõäÎàçàÒá ò ö çõVçáéä)ùTë5ãAäñã ñò àåäåáådò ö áë5òñò)ï:õà ìÒèñáòéåê 1 = & (-ãè éäÎíãAáãçàødåQäJø:è ò öP'
  16. Utilisation de la cohérence globale entre silhouettes pour…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-ARIF-Hernandez.pdf
    13 Mar 2018: intervals de profondeur vides.Dans le cas de deux vues, les silhouettes correspondantesne seront pas cohérentes s’il existe au moins un rayon op-tique classé S par une des silhouettes
  17. Energy Neutral Operation of Vibration Energy-Harvesting…

    https://mobile-systems.cl.cam.ac.uk/papers/ewsn2018.pdf
    26 Jan 2018: recoverable power amplitude and the op-erational frequency bandwidth of the harvester.
  18. Int J Comput VisDOI 10.1007/s11263-010-0381-3 Incremental Linear…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2011-IJCV-Kim.pdf
    13 Mar 2018: Int J Comput VisDOI 10.1007/s11263-010-0381-3. Incremental Linear Discriminant Analysis Using SufficientSpanning Sets and Its Applications. Tae-Kyun Kim Björn Stenger Josef Kittler Roberto Cipolla. Received: 14 December 2009 / Accepted: 10
  19. Learning Shape Priors for Single View Reconstruction Yu Chen ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-3DIM-shape-priors.pdf
    13 Mar 2018: Learning Shape Priors for Single View Reconstruction. Yu Chen and Roberto CipollaDepartment of Engineering, University of Cambridge. {yc301 and rc10001}@cam.ac.uk. Abstract. In this paper, we aim to reconstruct free-from 3D mod-els from a single
  20. SegNet: A Deep Convolutional Encoder-Decoder Architecture for…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2015-arxiv-SegNet.pdf
    13 Mar 2018: LeCun. Sceneparsing with multiscale feature learning, purity trees, and op-timal covers.
  21. Noname manuscript No.(will be inserted by the editor) Using ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2014-IJCV-dense-AAM.pdf
    13 Mar 2018: Dense op-. tical flow is used to compute pairwise registration and.
  22. Selwyn College Chapel – Music for Choral Services Michaelmas Term 2007

    https://www.sel.cam.ac.uk/sites/default/files/assets/chapel/music-list-easter-2018-2.pdf
    20 Apr 2018: mich erfreuen (Op.
  23. 13 Mar 2018: qp> _ kB1&('10/?@,<'rQ?@>@=s=#?)65k ;1>A&t8Q0<=M)u vKaUwx. op'-0<DF65'C8! #"$. %&('),-.'0/2143
  24. robust.dvi

    mi.eng.cam.ac.uk/~sjy/papers/heyo04.pdf
    20 Feb 2018: 4.2 Log-Linear Interpolation. Log-linear interpolation has been applied to languagemodel adaptation and has been shown to be equivalentto a constrained minimum Kullback-Leibler distance op-timisation problem(Klakow,
  25. bmvc-99.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-BMVC-Chesi.pdf
    13 Mar 2018: 2Gênu£¢£nZ»i{ki£ªn¢a£ªs£iiÓ]i]n¢«sx¢g¤K1 ¡¥£B¢ai«Åig¢]s£iªs¢£g Ói isÅ1{Z£i3ìs«¥Â£pi£¥NM%¤n]kg]iPO ¢ ¡¥s£<-¿! $. iÓ]i]n¢n¥«¥ÅspJKs  P I6¥««3¤Kªs£g Óª££g MV OP I V
  26. 20 Feb 2018: By op-timising directly against the desired objective func-tion such as BLEU score (Auli and Gao, 2014) orWord Error Rate (Kuo et al., 2002), the model canexplore its output space
  27. Multi-Sensory Face Biometric Fusion (for Personal Identification)…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-OTCBVS-Arandjelovic-fusion.pdf
    13 Mar 2018: The optimal. values were found to be2.3 and6.2 for visual data; the op-timal filter for thermal data was found to be alow-passfilterwith W2 = 2.8 (i.e.
  28. Silhouette-based Object Phenotype Recognition using 3D Shape Priors…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2011-ICCV-Chen-priors.pdf
    13 Mar 2018: However, the back-projectionfrom 2D to 3D is usually multi-modal, and this results ina non-convex objective function with multiple local op-tima, which is usually difficult to solve.
  29. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-ICCV-Shotton-object-detection.pdf
    13 Mar 2018: Horses were investigatedbriefly in [7] but poor results were obtained. 3Note that ROC curves are not ideal for the task of detection, as op-posed to classification; see [1] for more
  30. Ghostscript wrapper for…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2007-CVPR-Kim-tensor.pdf
    13 Mar 2018: rize human action and gesture classes in videos. Traditional. approaches based on explicit motion estimation require op-.
  31. icra00.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2000-ICRA-Chesi.pdf
    13 Mar 2018: ÑÕOLÔ Ô ÓP BQRL(STUWÒzØ BVÒzØeÔ6Ñ! ,
  32. DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2015-CVPR-Shankar.pdf
    13 Mar 2018: ntr. op. y L. os. s. Inp. ut. Ima. ge. L1.
  33. 13 Mar 2018: cayxC]VYVz]jrZ%_;sGhmtGg%VjGk,{|j[r}5. CR07#%Y'bR%. Y Y¡.¢¤£% ¥
  34. Large scale labelled video data augmentation for semantic…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2017-ICCV-label-propagation.pdf
    13 Mar 2018: However, in contrast to image classification and somedeep learning lead problems of computer vision, semanticsegmentation (especially for autonomous driving) still op-erates on limited size datasets which do not exceed 5000labelled
  35. 13 Mar 2018: qp> _ kB1&('10/?@,<'rQ?@>@=s=#?)65k ;1>A&t8Q0<=M)u vKaUwx. op'-0<DF65'C8! #"$. %&('),-.'0/2143
  36. calib.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2000-ECCV-Malis.pdf
    13 Mar 2018: " #$% #&')(,%-&-./0 #1%2%-&-3145 6789. ,9:0;) ". <>=-?A@CB,D4EA?GFHDJIKML@JNPO-QSRS@7TH?AU2@VEAEAD. WXZY%[XV] ]_[XZYa]_bdc-feg+]_X4ehVic-g&jJ[lkJY%]mHXZ[no]_pf[qesrt2uVgbZ[XZY-ev%Xxwyef] ]_ehZiz{'| }0ic-g&jJ[lkJY%]. -ZyP%Joo%y-o-yf%_yPoyo
  37. Int J Comput VisDOI 10.1007/s11263-010-0381-3 Incremental Linear…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2011-IJCV-Kim.pdf
    13 Mar 2018: Int J Comput VisDOI 10.1007/s11263-010-0381-3. Incremental Linear Discriminant Analysis Using SufficientSpanning Sets and Its Applications. Tae-Kyun Kim Björn Stenger Josef Kittler Roberto Cipolla. Received: 14 December 2009 / Accepted: 10
  38. Learning Shape Priors for Single View Reconstruction Yu Chen ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2009-3DIM-shape-priors.pdf
    13 Mar 2018: Learning Shape Priors for Single View Reconstruction. Yu Chen and Roberto CipollaDepartment of Engineering, University of Cambridge. {yc301 and rc10001}@cam.ac.uk. Abstract. In this paper, we aim to reconstruct free-from 3D mod-els from a single
  39. icra00.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2000-ICRA-Chesi.pdf
    13 Mar 2018: ÑÕOLÔ Ô ÓP BQRL(STUWÒzØ BVÒzØeÔ6Ñ! ,
  40. KL843-03.tex

    mi.eng.cam.ac.uk/~cipolla/publications/article/1999-IJCV-generalised-epipolar.pdf
    13 Mar 2018: International Journal of Computer Vision 33(1), 51–72 (1999)c 1999 Kluwer Academic Publishers. Manufactured in The Netherlands. Generalised Epipolar Constraints. KALLE ÅSTRÖMDepartment of Mathematics, Lund University, Lund, Sweden. ROBERTO
  41. Cambridge University Reporter No 6490, Wednesday 10 January 2018, Vol …

    https://www.reporter.admin.cam.ac.uk/reporter/2017-18/weekly/6490/6490_public.pdf
    18 Jan 2018: C A M B R I D G E U N I V E R S I T Y. REPORTERNo 6490 W e d N e s d ay 1 0 J a N u a r y 2 0 1 8 V o l c x lV i i i N o 1 4. P u B l i s H e d B y a u T H o r i T y. C O N T E N T S. NoticesCalendar 269Discussion on Tuesday, 23 January 2018
  42. exam_solns_2013.dvi

    https://www.precision.hep.phy.cam.ac.uk/wp-content/people/mitov/lectures/ParticlePhysics-2018/solutions-2013.pdf
    1 Dec 2018: of the constituentcomponents.•T+|u >= 0,T+|d >= |u >, T|u >= |d >, T|d >= 0,•Klebch-Gordon coeffs or ladder op rules of the form given byH in theBogon question below,
  43. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-ICCV-Shotton-object-detection.pdf
    13 Mar 2018: Horses were investigatedbriefly in [7] but poor results were obtained. 3Note that ROC curves are not ideal for the task of detection, as op-posed to classification; see [1] for more
  44. A HIERARCHICAL ATTENTION BASED MODEL FOR OFF-TOPIC SPONTANEOUSSPOKEN…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ASRU2017/HierarchicalAttentionBased/hierarchical-attention-based.pdf
    24 Jan 2018: The HATMalso contains an additional 200-dimensional BiLSTM prompt-searchencoder. The ATM was trained for 5 epochs with the Adam op-timizer [19], an exponentially decaying learning rate with an
  45. Data preservation Policies: from creation to exploitation

    https://www.c2d3.cam.ac.uk/sites/www.c2d3.cam.ac.uk/files/attachments/2018-10/david_giaretta_data_preservation_policies_14_march_2016.pdf
    11 Dec 2018: ula. te. Imp. le. me. nt. Op. era. te. TOOLS. MONI TOR ING.
  46. Faraday Paper No 4 Arabic. FINAL

    https://www.faraday.cam.ac.uk/wp-content/uploads/resources/Faraday%20Papers/Faraday%20Paper%204%20Polkinghorne_AR.pdf
    16 Feb 2018: املبدأ اإلنساني وجدل العلم والدينجون بولكينغهورن. الخالصة. الـحياةُ الـكربـونـيّة يـمكنها فـقط أن تـتطّور فـي كـوٍن قـّد تـّم تـعيينه
  47. 13 Mar 2018: cayxC]VYVz]jrZ%_;sGhmtGg%VjGk,{|j[r}5. CR07#%Y'bR%. Y Y¡.¢¤£% ¥
  48. KL843-03.tex

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/1999-IJCV-generalised-epipolar.pdf
    13 Mar 2018: International Journal of Computer Vision 33(1), 51–72 (1999)c 1999 Kluwer Academic Publishers. Manufactured in The Netherlands. Generalised Epipolar Constraints. KALLE ÅSTRÖMDepartment of Mathematics, Lund University, Lund, Sweden. ROBERTO
  49. www.pwc.co.uk BIM Level 2 Benefits Measurement Methodology Final…

    https://www.cdbb.cam.ac.uk/files/3._pwc_benefits_measurement_methodology.pdf
    10 May 2018: 9https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2016provisionalresults#main-points. Hourly gross pay available in table 16.5a. ... BIM Level 2 Benefits measurement methodology
  50. www.pwc.co.uk BIM Level 2 Benefits Measurement Methodology Final…

    https://www.cdbb.cam.ac.uk/system/files/documents/3.PwCBenefitsMeasurementMethodology.pdf
    10 May 2018: 9https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2016provisionalresults#main-points. Hourly gross pay available in table 16.5a. ... BIM Level 2 Benefits measurement methodology
  51. Ghostscript wrapper for C:\Documents and Settings\mike\My…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/invitedTalk/2003-MOS-handtracking.pdf
    13 Mar 2018: Hand Tracking Using A Quadric Surface Model. R. Cipolla1 B. Stenger1 A. Thayananthan1 P. H. S. Torr2. 1 University of Cambridge, Department of Engineering, Trumpington Street,Cambridge, CB2 1PZ, UK. 2 Microsoft Research Ltd., 7 J J Thomson Ave,

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